Antonio Possolo

2.7k total citations
80 papers, 1.5k citations indexed

About

Antonio Possolo is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Radiation. According to data from OpenAlex, Antonio Possolo has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics, Probability and Uncertainty, 14 papers in Statistics and Probability and 11 papers in Radiation. Recurrent topics in Antonio Possolo's work include Scientific Measurement and Uncertainty Evaluation (36 papers), Advanced Statistical Process Monitoring (12 papers) and Radioactive Decay and Measurement Techniques (11 papers). Antonio Possolo is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (36 papers), Advanced Statistical Process Monitoring (12 papers) and Radioactive Decay and Measurement Techniques (11 papers). Antonio Possolo collaborates with scholars based in United States, Canada and United Kingdom. Antonio Possolo's co-authors include Blaza Toman, Olha Bodnar, Michael R. Winchester, Antonio R. Montoro Bustos, Clemens Elster, J. R. Whetstone, Barbara A. Maher, Hari Iyer, Juris Meija and Elijah J. Petersen and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Geochimica et Cosmochimica Acta.

In The Last Decade

Antonio Possolo

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antonio Possolo United States 21 418 298 216 165 127 80 1.5k
Blaza Toman United States 21 410 1.0× 183 0.6× 285 1.3× 171 1.0× 59 0.5× 64 1.7k
Philip Jonathan United Kingdom 29 294 0.7× 732 2.5× 612 2.8× 123 0.7× 27 0.2× 148 2.8k
Thomas A. Brubaker United States 10 117 0.3× 195 0.7× 150 0.7× 308 1.9× 62 0.5× 33 2.1k
Surendra P. Verma Mexico 51 100 0.2× 53 0.2× 579 2.7× 178 1.1× 61 0.5× 226 8.6k
N. J. McCormíck United States 24 116 0.3× 303 1.0× 168 0.8× 419 2.5× 51 0.4× 140 2.0k
YuLong Xie United States 24 24 0.1× 208 0.7× 486 2.3× 92 0.6× 391 3.1× 89 1.7k
Xiaojie Wang China 33 47 0.1× 343 1.2× 234 1.1× 204 1.2× 996 7.8× 161 3.5k
Larry G. Blackwood United States 11 60 0.1× 56 0.2× 68 0.3× 326 2.0× 84 0.7× 27 2.3k
Wolfhard Wegscheider Austria 24 196 0.5× 55 0.2× 45 0.2× 437 2.6× 184 1.4× 125 2.6k
James L. Martin United States 22 151 0.4× 172 0.6× 75 0.3× 68 0.4× 41 0.3× 89 1.9k

Countries citing papers authored by Antonio Possolo

Since Specialization
Citations

This map shows the geographic impact of Antonio Possolo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Possolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Possolo more than expected).

Fields of papers citing papers by Antonio Possolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Possolo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Possolo. The network helps show where Antonio Possolo may publish in the future.

Co-authorship network of co-authors of Antonio Possolo

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Possolo. A scholar is included among the top collaborators of Antonio Possolo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Possolo. Antonio Possolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Possolo, Antonio. (2025). Measurement uncertainty redefined. Metrologia. 62(4). 42101–42101. 1 indexed citations
2.
Meija, Juris, et al.. (2024). New statistical framework for interlaboratory evaluation of anti-doping testing results by WADA. Accreditation and Quality Assurance. 29(5-6). 345–357.
3.
Trapmann, Stefanie, et al.. (2024). Approaches for the production of reference materials with qualitative properties—The new International Standard ISO 33406. Accreditation and Quality Assurance. 29(4). 269–276. 3 indexed citations
4.
Possolo, Antonio, David Brynn Hibbert, Jürgen Stohner, Olha Bodnar, & Juris Meija. (2024). A brief guide to measurement uncertainty (IUPAC Technical Report). Pure and Applied Chemistry. 96(1). 113–134. 5 indexed citations
5.
Meija, Juris, Olha Bodnar, & Antonio Possolo. (2023). Ode to Bayesian methods in metrology. Metrologia. 60(5). 52001–52001. 9 indexed citations
6.
Possolo, Antonio. (2023). Measurement science meets the reproducibility challenge. Metrologia. 60(4). 44002–44002. 1 indexed citations
7.
Toman, Blaza, et al.. (2022). Errors-in-variables calibration with dark uncertainty. Metrologia. 59(4). 45002–45002. 5 indexed citations
8.
Possolo, Antonio & Olha Bodnar. (2022). Redefining Standard Measurement Uncertainty. The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy. 34–37.
9.
Veen, Adriaan M. H. van der, M G Cox, & Antonio Possolo. (2022). GUM guidance on developing and using measurement models. Accreditation and Quality Assurance. 27(5). 295–297. 2 indexed citations
10.
Pintar, Adam L., et al.. (2020). Uncertainty evaluations from small datasets. Metrologia. 58(1). 15014–15014. 6 indexed citations
11.
Possolo, Antonio. (2020). Interlaboratory consensus building challenge. Analytical and Bioanalytical Chemistry. 412(17). 3955–3956. 5 indexed citations
12.
Hodges, Joseph, Joële Viallon, Paul J. Brewer, et al.. (2019). Recommendation of a consensus value of the ozone absorption cross-section at 253.65 nm based on a literature review. Metrologia. 56(3). 34001–34001. 24 indexed citations
13.
Plant, Anne L., Chandler A. Becker, R. J. Hanisch, et al.. (2018). How measurement science can improve confidence in research results. PLoS Biology. 16(4). e2004299–e2004299. 25 indexed citations
14.
Rhoderick, George C., Joseph T. Hodges, Antonio Possolo, et al.. (2018). CCQM-K121 - Monoterpenes in nitrogen at 2.5 nmol mol-1 final report. Metrologia. 55(1A). 8019–8019. 2 indexed citations
15.
Possolo, Antonio & Hari Iyer. (2017). Invited Article: Concepts and tools for the evaluation of measurement uncertainty. Review of Scientific Instruments. 88(1). 11301–11301. 41 indexed citations
16.
Rhoderick, George C., Michael E. Kelley, Walter R. Miller, Gordon Brailsford, & Antonio Possolo. (2015). Development of a southern oceanic air standard reference material. Analytical and Bioanalytical Chemistry. 408(4). 1159–1169. 11 indexed citations
17.
Cambaliza, Maria Obiminda, P. B. Shepson, D. Caulton, et al.. (2014). Assessment of uncertainties of an aircraft-based mass balance approach for quantifying urban greenhouse gas emissions. Atmospheric chemistry and physics. 14(17). 9029–9050. 109 indexed citations
18.
Possolo, Antonio & Clemens Elster. (2014). Evaluating the uncertainty of input quantities in measurement models. Metrologia. 51(3). 339–353. 22 indexed citations
19.
Davis, K. J., A. E. Andrews, Maria Obiminda Cambaliza, et al.. (2010). Greenhouse gas emissions derived from regional measurement networks and atmospheric inversions: Results from the MCI and INFLUX experiments. AGUFM. 2010. 3 indexed citations
20.
Guenther, Franklin R. & Antonio Possolo. (2010). Calibration and uncertainty assessment for certified reference gas mixtures. Analytical and Bioanalytical Chemistry. 399(1). 489–500. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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